swarmauri_llm_falai
Provider-specific Falai LLM package for Swarmauri. This package offers direct imports for FalAIVisionModel while keeping implementation parity with swarmauri_standard.
Features
FalAIVisionModeladapter exported fromswarmauri_standard.llms.FalAIVisionModel.- Compatible with Python 3.10 through 3.12.
Installation
# uv
uv add swarmauri_llm_falai
# pip
pip install swarmauri_llm_falai
Usage
from swarmauri_llm_falai import FalAIVisionModel
from swarmauri_standard.conversations.Conversation import Conversation
from swarmauri_standard.messages.HumanMessage import HumanMessage
conversation = Conversation()
conversation.add_message(HumanMessage(content="Hello from Swarmauri"))
model = FalAIVisionModel()
# Configure provider credentials before making requests.
# result = model.predict(conversation=conversation)
Workflow Notes
- These adapters intentionally mirror the corresponding classes in
swarmauri_standard. - Use the provider package that matches your deployment and credential setup.
- Install only the provider packages you need to keep dependencies minimal.
1 maintainer
Metadata
1 maintainer
Release files for swarmauri_llm_falai 0.1.0
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| swarmauri_llm_falai-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.3 kB
Release files / swarmauri_llm_falai-0.1.0.tar.gz
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